FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control
research work·research paper·active
Research work examining music generation, symbolic music.
Recorded facts
| Official site | https://arxiv.org/abs/2201.10936 ↗ |
|---|---|
| Geography | Global |
| arxiv | 2201.10936 |
| venue | Published in ICLR 2023 |
| authors | Dimitri von Rütte; Luca Biggio; Yannic Kilcher; Thomas Hofmann |
| methods | self-supervised learning |
| code urls | unknown |
| demo urls | unknown |
| exact title | FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control |
| project urls | unknown |
| original title | unknown |
| citation counts | unknown |
| research topics | music generation; symbolic music |
| peer review status | venue or acceptance claim recorded in arXiv comment |
| disclosed conflicts | unknown |
| stated contribution | Presents or evaluates the system, method, benchmark, or analysis identified in the paper title. |
| us market scope basis | Included as a materially relevant public research artifact in the US-facing AI-music ecosystem; direct affiliation varies. |
| funding acknowledgements | unknown |
| affiliations at publication | unknown |
| publication or preprint date | 2022-01-26 |
| abstract level neutral summary | The work studies music generation, symbolic music; methods and evaluation details are in the official abstract. |
| datasets benchmarks models tools used | unknown |
| correction withdrawal retraction status | No withdrawal marker observed in captured arXiv metadata. |
Sources & changes
Checked 10d ago · highhow verification works
Field-level evidence
Public change history
- Status unknown → active
- Official URL unknown → arxiv.org/abs/2201.10936
- Record maintenance · 12 fields updated
Is this yours? Claim this record →·See something wrong? Report a correction →